document-understanding
latest
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- Overview
- Getting started
- Activities
- Insights dashboards
- Document Understanding Process
- Quickstart tutorials
- Framework components
- ML packages
- Overview
- Document Understanding - ML package
- DocumentClassifier - ML package
- ML packages with OCR capabilities
- 1040 - ML package
- 1040 Schedule C - ML package
- 1040 Schedule D - ML package
- 1040 Schedule E - ML package
- 1040x - ML package
- 3949a - ML package
- 4506T - ML package
- 709 - ML package
- 941x - ML package
- 9465 - ML package
- ACORD131 - ML package
- ACORD140 - ML package
- ACORD25 - ML package
- Bank Statements - ML package
- Bills Of Lading - ML package
- Certificate of Incorporation - ML package
- Certificate of Origin - ML package
- Checks - ML package
- Children Product Certificate - ML package
- CMS 1500 - ML package
- EU Declaration of Conformity - ML package
- Financial Statements - ML package
- FM1003 - ML package
- I9 - ML package
- ID Cards - ML package
- Invoices - ML package
- Invoices Australia - ML package
- Invoices China - ML package
- Invoices Hebrew - ML package
- Invoices India - ML package
- Invoices Japan - ML package
- Invoices Shipping - ML package
- Packing Lists - ML package
- Payslips - ML package
- Passports - ML package
- Purchase Orders - ML package
- Receipts - ML Package
- Remittance Advices - ML package
- UB04 - ML package
- Utility Bills - ML package
- Vehicle Titles - ML package
- W2 - ML package
- W9 - ML package
- Other Out-of-the-box ML Packages
- Public endpoints
- Traffic limitations
- OCR Configuration
- Pipelines
- OCR services
- Supported languages
- Deep Learning
- Licensing
Document Understanding User Guide
Last updated Dec 12, 2024
CMS 1500 - ML package
CMS-1500 is a standard form for medical claims used by non-institutional providers or suppliers to bill Medicare carriers and durable medical equipment regional carriers (DMERCs). It is also used for billing of some Medicaid State Agencies.
This ML package is trained to automatically detect key information and to extract relevant data from this kind of form. It has over 80 fields covering all types of info that the form can contain.
The model automatically detects data such as:
- Payer Name and Address.
- Patient Address, Telephone, DoB.
- Insurer Name and Address.
- Date of Illness, Claim Information, Hospitalization Date.
- Nature of Illness, Diagnosis Nature, Date of Service, Place of Service.
Note: For the complete list of extracted fields, check the Out-of-the-box Models Details file.
